New modular, spring-like devices maximize the work of live muscle fibers so they can be harnessed to power biohybrid bots.

With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.

Faster and more accurate than some alternatives, this approach could be useful for robots that interact with humans or work in tight spaces.

The “oriented” samples, the first of their kind from any planet, could shed light on Mars’ ancient magnetic field.

By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.

MIT CSAIL researchers established new connections between combinatorial and continuous optimization, which can find global solutions for complex motion-planning puzzles.

Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.

Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn’t use before.

The team’s new algorithm finds failures and fixes in all sorts of autonomous systems, from drone teams to power grids.

The vibrating platform could be useful for growing artificial muscles to power soft robots and testing therapies for neuromuscular diseases.